Multistage stochastic mixed-integer linear problems (MSMILPs) are non-convex, usually of large scale, and hard to solve. This calls for decomposition approaches to keep the solution process ...

Apache Iceberg and SparkSQL bring database-like reliability to your data lake. Time travel, schema evolution, and ACID transactions help support reproducible machine learning experiments.

Then, an integer programming model is constructed to optimize the arrangement of the order plates based on MARL’s decisions. To further refine the MARLIP approach, we introduce dual factors and a soft ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

This repository contains the implementation of an optimized university timetabling system using Integer Linear Programming (ILP) techniques. The system aims to efficiently allocate classrooms, ...

The present work provides a general framework for tree-partitioning problems based on mixed-integer linear programming (MILP). In particular, we present a novel MILP formulation to optimally solve ...

This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to minimize ...

JavaScript remains the most used programming language, while TypeScript, Rust, and Python surge, according to JetBrains’ State of Developer Ecosystem report.

JavaScript arrays are an incredibly flexible way to model collections using techniques from functional programming.